garmin-trainer SKILL.md skillA
garmin-trainer from bpauli/gccli is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add bpauli/gccli/garmin-trainer@git:20261012.66db1c6Pins git:20261012.66db1c6 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- bpauli/gccli
- Path
skills/garmin-trainer/SKILL.md- Versions recorded
- 3
- Latest version
- git:20261012.66db1c6, committed Oct 12, 2026
- First version recorded
- Mar 11, 2026
- Size
- 18,212 bytes
- Repository stars
- 31
- License
- MIT
Adaptive 12-week training plan generator using Garmin Connect data. Creates structured workouts and schedules them on your Garmin calendar. Use this skill whenever the user asks about training plans, workout scheduling, race preparation, building fitness for upcoming events, or wants to generate/update their training calendar. Also triggers when the user mentions Garmin training, weekly workouts, taper plans, base building, interval sessions, or periodization.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# Garmin Trainer Generate an adaptive 12-week training plan based on real Garmin Connect data. The plan accounts for all upcoming events (races across different sports), current fitness level, recent training load, and recovery status. Each run of this skill pulls fresh data so the plan stays current. For all gccli command examples (data gathering, workout creation, scheduling), read `references/gccli-commands.md`. ## Step 0: Choose a Training Philosophy Before building the plan, ask the user which coaching philosophy to follow. Present these six options — each shapes how the plan balances intensity, volume, strength work, and recovery: ### 1. Joe Friel — Periodization Bible Based on "The Triathlete's Training Bible". Classic structured periodization with distinct phases (base → build → peak → race). Strength training is integral, progressing from anatomical adaptation (high rep, low weight) through max strength to explosive power as the season advances. Includes year-round mobility work. Best for athletes who like structure and measurable progression. - **Intensity split**: ~75% easy / 5% tempo / 20% high intensity (shifts across phases) …
Read the whole file at its exact version.
How to install
mdr add bpauli/gccli/garmin-trainer@sha256:be43347f40bf0076The line at the top of this page pins the label git:20261012.66db1c6, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_awgdx6tw4suuosk3)
2 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 3 versions of this file, between Mar 11, 2026 and Oct 12, 2026, about one every 107 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20261012.66db1c6 latest | 2026-10-12 | 66db1c6 | 18,212 B | A | view · diff |
| git:20260311.5fb8df9 | 2026-03-11 | 5fb8df9 | 18,212 B | A | view · diff |
| git:20260311.8b6014b | 2026-03-11 | 8b6014b | 18,221 B | A | view |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (18212 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
bpauli/gccli · 31 stars · license MIT · pushed 2026-11-04 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_awgdx6tw4suuosk3 GET https://markdownregistry.com/api/v1/resolve?ref=bpauli/gccli/garmin-trainer GET https://markdownregistry.com/api/v1/blob/be43347f40bf007630b856fb16c42f122b07fd3f8b8b33c1be80e3b86389c26d
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.